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AI-Based Autonomous Control, Management, and Orchestration in 5G: From Standards to Algorithms
IEEE NETWORK ( IF 6.8 ) Pub Date : 12-2-2020 , DOI: 10.1109/mnet.001.2000047
Dario Bega , Marco Gramaglia , Ramon Perez , Marco Fiore , Albert Banchs , Xavier Costa-Perez

While the application of artificial intelligence (Ai) to 5G networks has raised strong interest, standard solutions to bring Ai into 5G systems are still in their infancy and have a long way to go before they can be used to build an operational system. in this article, we contribute to bridging the gap between standards and a working solution by defining a framework that brings together the relevant standard specifications and complements them with additional building blocks. We populate this framework with concrete Ai-based algorithms that serve different purposes toward developing a fully operational system. We evaluate the performance resulting from applying our framework to control, management, and orchestration functions, showing the benefits that Ai can bring to 5G systems.

中文翻译:


5G 中基于人工智能的自主控制、管理和编排:从标准到算法



虽然人工智能 (Ai) 在 5G 网络中的应用引起了人们的浓厚兴趣,但将人工智能引入 5G 系统的标准解决方案仍处于起步阶段,距离用于构建操作系统还有很长的路要走。在本文中,我们通过定义一个框架来缩小标准和工作解决方案之间的差距,该框架汇集了相关标准规范并用其他构建块对其进行补充。我们在这个框架中填充了具体的基于人工智能的算法,这些算法服务于开发一个完全可操作的系统的不同目的。我们评估了将我们的框架应用于控制、管理和编排功能所产生的性能,展示了人工智能可以为 5G 系统带来的好处。
更新日期:2024-08-22
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